Open Notebook MCP Server
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Alternatives to Open Notebook MCP Server
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Related Servers
- AlicenseBqualityAmaintenanceEnables AI assistants to programmatically interact with Google NotebookLM, allowing them to create and manage notebooks, add sources, query content, generate audio/video, and perform research tasks through natural language commands.5510,563 PyPI6,464MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to programmatically access and control Google NotebookLM, supporting operations like notebook management, source addition, audio generation, and more via natural language.39MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to manage Google NotebookLM notebooks, add sources from URLs, YouTube, Drive, or text, query and summarize content, and generate audio overviews, infographics, and slide decks through natural language.MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to programmatically access and manage Gemini Notebook (formerly Google NotebookLM), including creating notebooks, adding sources, querying content, generating studio content, downloading artifacts, and running batch or cross-notebook workflows through natural language.49MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to query and manage private Google NotebookLM notebooks with grounded citations, source and note operations, and secure credential containment.Apache 2.0
- AlicenseAqualityAmaintenanceMCP server for Google NotebookLM. 27 tools to manage notebooks and sources (web pages, YouTube, text, Google Drive), ask questions answered only from your sources, run web research, and generate Audio and Video Overviews, slide decks, reports, infographics, flashcards and quizzes. Every tool has MCP annotations and a typed output schema. Runs locally with your own Google session.27311 npm22MIT
TDQS
Scored across 33 tools
Most tools have clear distinct purposes, but 'ask_question' and 'ask_simple' are very similar in functionality and arguments, potentially causing confusion for an agent. Other tools like CRUD operations are well-separated.
All tool names follow a consistent verb_noun pattern with lowercase and underscores (e.g., create_notebook, delete_source). No mixing of conventions or irregular names.
With 33 tools, the server is on the higher side but still reasonable given the multiple resources (notebooks, notes, sources, chat sessions, models, settings) and additional utility tools. It's slightly over the typical well-scoped range but not excessive.
The tool surface covers CRUD operations for all major resources and includes question-asking and search features. Minor gaps like import/export or bulk operations are missing, but core workflows are well-supported.